Optimization of cad system for ceramic decoration pattern design based on virtual reality technology

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Abstract

The continuous progress of computer technology has led to the development of many excellent graphic applications both at home and abroad, which has changed the design of patterns from traditional manual design to computer design. With the intelligence of the computer, to achieve a qualitative leap in the creation of patterns. With the increasingly fierce market competition, people's living standards continue to improve, today's consumer demand for products not only stay on the function, appearance is equally important to attract consumers, the appearance of the product pattern has gradually become one of the factors for consumers to decide whether to buy. In this paper, we combine the service model theory of virtual reality (VR) technology and product customization features to develop a corresponding pattern design module for ceramic pattern design. Using object-oriented software development technology, the ceramic pattern design plug-in is developed based on the ceramic CAD platform and fractal theory. Users can easily modify fractal data in the application interface without modifying the source program code. In the creation of ceramic decoration software based on fractal theory, it is the software, algorithms, a variety of mathematical functions, simple graphic elements as the main body, designers can generate complex and varied ceramic design patterns with simple operation of the software. It facilitates the design of better patterns. The study focuses on the development and implementation technology of the VR platform-based ceramic product pattern system to ensure the versatility and flexibility of the system, and reduce unnecessary duplication of development, and reduce the cost of development, and improve the efficiency of development.

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APA

Wu, H., & Ma, Y. (2022). Optimization of cad system for ceramic decoration pattern design based on virtual reality technology. Computer-Aided Design and Applications, 19, 110–120. https://doi.org/10.14733/CADAPS.2022.S5.110-120

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